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SMLoutliers

0.1

Outlier Detection Using Statistical and Machine Learning Methods

0packages depend
2Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Siddharth JainFirst published 2017-02-061 releasesCRAN page ↗

Local Correlation Integral (LOCI) method for outlier identification is implemented here. The LOCI method developed here is invented in Breunig, et al. (2000), see doi:10.1145/342009.335388.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 39 s · r-release-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
None
Vignettes
No
README
0
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Downloads

2K
CRAN downloads in the past year
Rank #23,175 · ~6/day · ~170/mo
SMLoutliers
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19130 days
48790 days
2K1 year
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Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Code Composition
Rd 94 (68%)R 44 (32%)
Code characteristics
Cyclomatic complexity
7.0 median / 7 max

Test coverage

Line coverage

Expression

Tests / Examples

Functions

1 0 exported

Complexity

7 avg / 7 max

Call network

1 nodes / 0 edges

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Lowest coverage

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People & History

People (0)

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Release timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2017-02-06
Total releases
1 / 9 yrs
License
GPL-2 OSI
Bundled data
0.4 KB / 1 file
Download size
3.5 KB
Installed size
not tracked yet
With dependencies
not tracked yet